Reinforcement Learning Control Design for Perching Maneuver of Unmanned Aerial Vehicles with Wind Disturbances
This paper addresses the issue of perching maneuver of unmanned aerial vehicles in wind-disturbed environments, by combining the control-oriented sparse identification of nonlinear dynamics with control (SINDYc) method and the imitation deep reinforcement learning (IDRL) control strategy. The study...
Saved in:
| Main Author: | ZHANG Weizhen, HE Zhen, TANG Zhangfan |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of Shanghai Jiao Tong University
2024-11-01
|
| Series: | Shanghai Jiaotong Daxue xuebao |
| Subjects: | |
| Online Access: | https://xuebao.sjtu.edu.cn/article/2024/1006-2467/1006-2467-58-11-1753.shtml |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Incremental Nonlinear Dynamics Inversion Control with Nonlinear Disturbance Observer Augmentation for Flight Dynamics
by: Lamsu Kim, et al.
Published: (2024-11-01) -
A Framework of Recommendation System for Unmanned Aerial Vehicle Autonomous Maneuver Decision
by: Qinzhi Hao, et al.
Published: (2024-12-01) -
Observer-Based Adaptive Neural Control of Quadrotor Unmanned Aerial Vehicles Subject to Model Uncertainties and External Disturbances
by: Rashin Mousavi, et al.
Published: (2024-12-01) -
Neural Network Design and Training for Longitudinal Flight Control of a Tilt-Rotor Hybrid Vertical Takeoff and Landing Unmanned Aerial Vehicle
by: Guillaume Ducard, et al.
Published: (2024-12-01) -
The effect of laying hen strain on perching biomechanics and keel deviations
by: Emily DePaoli, et al.
Published: (2024-12-01)